Peter Tenni

18 papers receiving 479 citations

Peers

Peter Tenni
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 270
  • Family Practice 31
  • Health Information Management 37
  • Toxicology 23
  • Emergency Medical Services 42
Replace Linda Aagaard Thomsen with:
Linda Aagaard Thomsen Denmark
Ornella Conort France
Catherine L. Liang United States
Priska Vonbach Switzerland
Pieter Cornu Belgium
Saied Eslami Netherlands
Just Ebbesen Norway
Joice Mara Cruciol-Souza Brazil
A. Clara Drenth‐van Maanen Netherlands
Robert M. Balen Canada
Peter Tenni relative to Linda Aagaard Thomsen Denmark Linda Aagaard Thomsen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Tenni

Since Specialization
Citations

This map shows the geographic impact of Peter Tenni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Tenni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Tenni more than expected).

Fields of papers citing papers by Peter Tenni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Tenni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Tenni. The network helps show where Peter Tenni may publish in the future.

Co-authors

The 19 scholars most cited alongside Peter Tenni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Tenni Line = papers co-authored together Peter Tenni links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201186
2 201081
3 200974
4 198946
5 201133
6 200029
7 200729
8 200724
9 201023
10 201122
11 201120
12 201215
13 20077
14 20046
15 20066
16 20114
17 20144
18
HMRs - Status Quo or Quo Vadis?
20112

About Peter Tenni

Peter Tenni is a scholar working on Geriatrics and Gerontology, General Health Professions, Health Information Management, Artificial Intelligence and Surgery, having authored 18 papers that have together received 511 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (9 papers), AI-based Problem Solving and Planning (2 papers), Electronic Health Records Systems (2 papers), Folate and B Vitamins Research (1 paper), Patient Safety and Medication Errors (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Vitamin K Research Studies (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Geriatrics and Gerontology (270 citations), Family Practice (31 citations), Health Information Management (37 citations), Toxicology (23 citations) and Emergency Medical Services (42 citations). Peter Tenni has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Gregory M. Peterson, Andrew Stafford, Ivan Bindoff, Mackenzie Williams, SL Jackson, Michael Byrne, Byeong Ho Kang, Mette Rasmussen, Colin Curtain and James F Reeve. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Pharmacy Practice and Research, The journal of nutrition health & aging, Annals of Pharmacotherapy and International Journal of Pharmacy Practice.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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